VISION

To emerge as a leading department in Technical Education and Research in India in Computer Science and Engineering, especially in the Artificial Intelligence and Machine Learning domain with focus to produce professionally competent and socially sensitive engineers capable of working in a global environment.

MISSION

M1

To prepare Computer Science and Engineering in Artificial Intelligence and Machine Learning graduates to be lifelong learners with competence in basic sciences & engineering and professional core,  multidisciplinary areas,  with continuous update  of the syllabus,  so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur. 

M2

To enable the graduates to use modern tools, to design and develop artificial intelligence enabled products and also communicate effectively with professional ethics.

M3

To continuously engage in research and project development with financial management to promote scientific temper in the graduates and attain sustainability.

Dr.S.A.Shaikh

Welcome to the Department of C.S.E. (AI&ML) (Artificial Intelligence & Machine Learning )at D.I.E.M.S., Aurangabad. The Department of CSE(AI&ML) at D.I.E.M.S. is strongly committed to impart innovative and quality technical education with high standards at undergraduate level.
The faculty and non-teaching staff of the department is committed to prepare our students by providing the expertise and proficiency in Artificial Intelligence, Machine Learning,Deep Learning and its related fields needed to thrive in our modern society. The AI&ML in the 21st century is the skill of the century. It has had a tremendous impact on human civilization.

Artificial intelligence and in general the intelligent systems have changed how we work, how we communicate, how we teach and learn, how we entertain, and so forth. AI and ML has become a fundamental tool for augmenting human knowledge, which is an essential part of creation, discovery, and innovation.

The main goal of the Department is to provide an experiential learning opportunities such as hands-on training, project-based courses, research projects, and internships which provide a solid foundation to work in interdisciplinary teams that invent the future for which the Department covers a wide spectrum of research in the areas of Algorithms, Artificial Intelligence, Image Processing, Pattern Recognition, Machine Learning, Data Mining, Big-Data Analytics, and Computer Security led by qualified and experienced team of faculty members.

In addition to state-of-the-art curriculum, more emphasis is placed on enriching the students’ learning experience by providing value-added courses, skill-development programs, technical Workshops and participating in technical competitions, hackathons at all levels including state, national and international platforms.

The students, faculty, and staff of CSE(AI&ML) at D.I.E.M.S. , we believe in working together, we encourage each other, we help each other, and, most importantly, we believe in each other. This is the key to our students’ success at AI&ML at D.I.E.M.S. Hence, to bring the success of the department we focus on productive interdisciplinary collaborations to work across a diverse set of projects, laboratories, departments, and industry partners.

I am confident that the Department of Artificial Intelligence & Machine Learning at D.I.E.M.S. is strongly prepared to face the exciting new challenges in this new digital era and also to be one of the best institutions. We hope the information on this website may convey some sense of excitement that pervades the department as we make new discoveries and educate the best students of this nation.

Best regards,
Dr.S.A.Shaikh
Head of Department
C.S.E.(A.I.&M.L.), D.I.E.M.S.

Program Outcomes

  • Engineering knowledge

    Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

  • Problem analysis

    Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

  • Design/development of solutions

    Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

  • Conduct investigations of complex problems

    Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

  • Modern tool usage

    Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

  • The engineer and society

    Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

  • Environment and sustainability

    Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

  • Ethics

    Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

  • Individual and team work

    Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

    .

  • Communication

    Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

  • Project management and finance

    Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

  • Life-long learning

    Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes (PSOs)

  • Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.

  • Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.

  • To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain

Program Educational Objectives (PEOs)

  • To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.

  • Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.

  • Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness

Staff Member 1

Dr.S.A Shaikh

Associate Professor & HOD
Staff Member 1

Ms.P.A.Joshi

Assistant Professor
Staff Member 1

Mr.K.S.Jadhav

Assistant Professor
Staff Member 1

Ms.S.G Deshpandde

Assistant Professor
Staff Member 1

Mr.A.H.Rokade

Assistant Professor
Staff Member 1

Ms.S.G.Tuppad

Assistant Professor
Staff Member 1

Mrs.Komal Sanjay Shinde

Assistant Professor
Staff Member 1

Ms.R. M. Kale

Assistant Professor
Staff Member 1

Mrs. Nida Kazi

Assistant Professor
Staff Member 1

Mrs.Pallavi R. Kathar

Assistant Professor
Staff Member 1

Yogita P. Lakade

Assistant Professor
Staff Member 1

Megha R. Pardeshi

Assistant Professor

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DR. B. A. T. UNIVERSITY RESULT ANALYSIS

A. Y. 2022-23CLASS:-SY (AIML)EXAM EVENT: SEM I

LIST OF TOPPER STUDENTS

SR.NO.PRN OF STUDENTNAME OF STUDENTSGPA (OUT OF 10)
12121141911016DUSANE POOJA RAMAKANT8.08
22121141911017JEJURKAR POOJA SUBHASH8
32121141911004DONGARE NIKITA VITTHAL7.88
42121141911058KAPGATE NEHAL SURESH7.58
52121141911022MOHAMMED REHAN MOHAMMED ILYAS7.58
62121141911019VAIDYA SUMIT SUBHASH7.54
72121141911015SHAIKH WASEEM ASIF7.5
82121141911018SHINGATE VISHAL RAJENDRA7.42
92221141911505GHARE MOHINI UDDHAV7.38
102121141911066SATHE SHRAVANI RAHUL7.33

Departmental Advisory Board (2024-25)

Sr.No Name of the member Designation Organization E-Mail Position in DAB
1 Dr.S.A.Shaikh Head of the Department MSPM’s Deogiri Institute of Engineering and Management Studies, Aurangabad hodaiml@dietms.org Chairman
2 Mr.Jaiprakash Prasad Vice President Findability Science P.Limited pjaiprakash@findabilitysciences.com Industry Representative
3 Mrs.A.M.Khan Asst.Professor Government Engineering College Aurangabad (GECA) arjumand21.khan@gmail.com Academician
4 Mr.Vedant Kathar Associate Software Developer Tech Mahindra (Maker’s Lab  (Research and Development Lab )) vk001079270@techmahindra.com Alumini Representative
5 Mrs.S.N.Kelapure Asst.Professor MSPM’s Deogiri Institute of Engineering and Management Studies, Aurangabad sonalideshpande@dietms.org Faculty Representative
6 Mrs.K.S.Shinde Asst.Professor MSPM’s Deogiri Institute of Engineering and Management Studies, Aurangabad komalshinde@dietms.org Faculty Representative
7 Mr.Sudhir Puranik Owner CTO,Sukanya softwares sudhirpur123@gmail.com       Parent          Representative
8 Miss.Sukanya Puranik Student MSPM’s Deogiri Institute of Engineering and Management Studies, Aurangabad sukanya81205@gmail.com       Student      Representative

BoS Members of CSE(AI&ML) Engineering                                      

Sr. No.

Name

Qualification

Current Affiliations

Clause No. 12.5 (1): Head of the Department concerned (Chairperson)

1

Dr. S.A.Shaikh

Ph.D., M.E., B.E.

DIEMS,

Chh. Sambhajinagar

Clause No. 12.5 (2) : All faculty members of the Department

1

Mrs. P. A. Joshi (Data Structure & Algorithm)

M.E., B.E.

DIEMS,

Chh. Sambhajinagar

2

Mrs. S.G.Deshpande (Machine Learning )

M.E., B.E.

3

Mr. K.S. Jadhav (Digital Electronics)

M.E., B.E.

4

Mr. A.H. Rokade (Network Security)

M.E., B.E.

5

Miss. S.G.Tuppad (Web Development )

M.E., B.E.

Clause No. 12.5 (3): Two subject experts from outside the parent University are to be nominated by the Academic Council.

1

Dr. D. B. Kshirsagar

Ph.D., M.E., B.E.

Professor, Sanjivani COE, Kopargaon

2

Dr. D. S. Deshpande 

Ph.D., M.E., B.E.

Head and Professor, MGM University.      Chh Sambhajinagar

Clause No. 12.5 (4): One expert to be nominated by the Vice-Chancellor from a panel of six recommended by the Autonomous college principal

1

Dr. B. S. Ahirwadkar

Ph.D., M.E., B.E.

Associate Professor and Dean Quality Assurance, M.I.T.    Chh. Sambhajinagar

Clause No. 12.5 (5): One representative from Industry/Corporate Sector/ allied area to be nominated by the principal.

1

Mr. S. B. Sodegaonkar 

B.E. (Electrical Engineering)

Manager Snowflex India Pvt. Ltd. Pune

Clause No. 12.5 (6): One member of the college alumni to be nominated by the principal

1

Miss. Preeti B. Bansawal

B.E.

JLL.                           Chh. Sambhajinagar

Clause No. 12.5 (7): A. Experts from outside the college whenever special courses of studies are to be formulated.
B. Other members of staff of the same faculty.

1

Mr. Karan Dabhade

M.Tech., B.E.

Assistant Professor M.G.M. Chh. Sambhajinagar

2

Mrs. Pooja Ishwar Gunwani

M.E., B.E.

Assistant Professor S.G.G.S. Nanded

Industry Advisory Board (2024-25)                                      

Sr. No.

Name of Industry Person 

Industry 

1

Mustafa Baquari

Google India

2

Quazi Fasahat Mohiuddin 

Pepsico Global Services

3

Quazi Mohammed Abdul Quader

Sada Systems

4

Syed Safiuddin 

VOIS 

5

Santosh Jagarwal

Mastercard

6

Purushottam Manal

Wipro Technologies Ltd

7

Manisha Patil

iSpace Software Solutions India Pvt Ltd

8

Akshay Dinde

ADP Pvt. Ltd. Hyderabad

9

Archana Kalburgi

LTI Mindtree

10

Swapnil Janjal

JLL Technology Solutions

11

Paras Dave

Zymr Systems

12

Piyush Jain

Celebal Technologies

Guest Lectures

2023-24

Guest Lectures

2022-23

Sr.noName of Resource PersonDesignation & Name of organizationClassDateTopic
1Mr. Yashwant MangateAssociate Software Engineer, Codia LLP, PuneB. Tech09-05-2023GIT and GIT Hub
2Mr. Ashutosh BhakareDirector, Unnati Development and Training Center Pvt. Ltd, Chh SambhajinagarB. Tech10-02-2023TensorFlow Session
3Mr. Naman GuptaZbytes Growth and Partnership. Pune, Maharashtra. 411045SY, TY, B.Tech25 to 26 sept 2023web3 and blockchain virtual session
4Prof. Vijay TondonUniversal AI University, Karjat, MumbaiB. Tech10-06-2023Building universal skill
5Ms. Vaishnavi MishraTeaching Assistant, Delhi Technical University, New DelhiB. Tech10-09-2023Career Opportunities in the field of AI

Sr.no

Name of Resource PersonDesignation & Name of organizationClassDateTopic
1Mr. Deek ParassiniFounder,LIAP Foundation,Chennai, Tamil NaduTY&SY(AIML)4/13/2023Tips, Strategies, and priceless Life Lessons
2Mr.Mustafa BaquariSenior Software Engg, Google ,BangaloreSY(AIML)9/15/2022Processes flow of placment
3Mr.Mohteshim wahaj KhanIntegrated devoloper in system engineer,Infosys,PuneSY(AIML)9/28/2022Role of AIML in Technology,in Infosys
4Mr.Ashitosh BhakareDirector,Unnati devolopment and training centre,Auranbgabad.TY(AI&ML)9/28/2022Role of Linux in the field of AIML
5Mr.Yashodip GaikwadFree Lancer,in Java,Python and Spring bootTY(AI&ML)10/17/2022Role of spring boot ,java in AIML
6Dr.Sanjeev  PipalProgram Director,MGM University.SY(AIML)12/21/2022Softs skill development
7Dr.Smita AvcharHOD Sociiology Dept.,DrBAMU Aurangabad.TY&SY(AIML)11/25/2022Need of Social Awairness Among  youth
8Mr.Yash BalvirJunior data scientist at Curls AnalystTY(AI&ML)5/6/2023Application of Artificial intelegence
9Shriniwas KulkarniM.tech BHU,British Telecom,BangaloreTY(AI&ML)3/23/2023Data Science

2022-23

Sr. No.Name of the CompanyClassDate of Industrial Visit (DD/MM/YY)Number of Benificiries
1Aurangabad Smart CityTY18/05/2022150

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